Supporting Tele - health and AI-based clinical decision making with sensor data Fusion and semantic interpretation: The USEFIL case study (NCSR)
The paper entitled "Supporting Tele - health and AI-based clinical decision making with sensor data Fusion and semantic interpretation: The USEFIL case study" has been accepted for presentation at the ECAI workshop NetMed-2012, Montpellier, August 27th.
“In this paper we propose a three-layered architecture for clinical evidence-based Decision Support Systems. Our architecture allows for off-the-shelf, low cost sensors to be deployed in tele-health environments, using data fusion to achieve usable confidence in the sensor data. At the same time, the data fusion and semantic interpretation layer interfaces between sensor data and explicit rules encoding medical knowledge. This achieves a complete separation of the non-medical and medical knowledge, a requirement of paramount importance for system adoption.”
Authors: Alexander Artikis, Panagiotis D. Bamidis, Antonis Billis, Charalampos Bratsas, Christos Frantzidis, Vangelis Karkaletsis, Manousos Klados, Evdokimos Konstantinidis, Stasinos Konstantopoulos, Dimitris Kosmopoulos, Homer Papadopoulos, Stavros Perantonis, Sergios Petridis, Constantine S. Spyropoulos